Closed-Loop Control of Fluid Resuscitation via Blood Volume Estimation

2014 ◽  
Author(s):  
Ramin Bighamian ◽  
Andrew T. Reisner ◽  
Jin-Oh Hahn
Keyword(s):  
Control System ◽  
Blood Volume ◽  
Fluid Resuscitation ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Loop Control ◽  
Model Based ◽  
Closed Loop Control System ◽  
Volume Response ◽  
Loop Control System

This paper presents a model-based approach to the closed-loop control of fluid resuscitation against hypovolemia. In this approach, the control system consists of a model-based blood volume estimator and a feedback controller. The model-based blood volume estimator derives relative changes in the blood volume response to the augmented fluid by analyzing an arterial blood pressure waveform and the electrocardiogram. Then, the feedback controller determines the amount of fluid to be augmented by comparing targeted versus estimated relative changes in the blood volume. In this way, unlike many previous methods for fluid resuscitation based on indirect surrogate(s) of blood volume, fluid resuscitation can be directly guided by the blood volume response. This paper reports initial design of the closed-loop control system and its simulation-based evaluation in a wide range of hypovolemic and physiologic scenarios. The results suggest that the proposed closed-loop control system is very effective in resuscitation against hypovolemia: in 97 out of 100 simulated hypovolemia, the final blood volume achieved by the control system was within 10% of its optimal value.

scholarly journals Closed-loop control system for well-defined oxygen supply in micro-physiological systems

2017 ◽  
Vol 3 (2) ◽  
pp. 363-366
Author(s):  
Tobias Steege ◽  
Mathias Busek ◽  
Stefan Grünzner ◽  
Andrés Fabían Lasagni ◽  
Frank Sonntag
Keyword(s):  
Control System ◽  
Oxygen Supply ◽  
Closed Loop ◽  
Microfluidic System ◽  
Closed Loop Control ◽  
Loop Control ◽  
Cell Vitality ◽  
Closed Loop Control System ◽  
Loop Control System

AbstractTo improve cell vitality, sufficient oxygen supply is an important factor. A deficiency in oxygen is called Hypoxia and can influence for example tumor growth or inflammatory processes. Hypoxia assays are usually performed with the help of animal or static human cell culture models. The main disadvantage of these methods is that the results are hardly transferable to the human physiology. Microfluidic 3D cell cultivation systems for perfused hypoxia assays may overcome this issue since they can mimic the in-vivo situation in the human body much better. Such a Hypoxia-on-a-Chip system was recently developed. The chip system consists of several individually laser-structured layers which are bonded using a hot press or chemical treatment. Oxygen sensing spots are integrated into the system which can be monitored continuously with an optical sensor by means of fluorescence lifetime detection.Hereby presented is the developed hard- and software requiered to control the oxygen content within this microfluidic system. This system forms a closed-loop control system which is parameterized and evaluated.

Adaptive synchronization of uncertain fractional-order chaotic systems using sliding mode control techniques

2019 ◽  
Vol 234 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Bahram Yaghooti ◽  
Ali Siahi Shadbad ◽  
Kaveh Safavi ◽  
Hassan Salarieh
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Chaotic Systems ◽  
Closed Loop ◽  
Sliding Mode ◽  
Closed Loop Control ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System

In this article, an adaptive nonlinear controller is designed to synchronize two uncertain fractional-order chaotic systems using fractional-order sliding mode control. The controller structure and adaptation laws are chosen such that asymptotic stability of the closed-loop control system is guaranteed. The adaptation laws are being calculated from a proper sliding surface using the Lyapunov stability theory. This method guarantees the closed-loop control system robustness against the system uncertainties and external disturbances. Eventually, the presented method is used to synchronize two fractional-order gyro and Duffing systems, and the numerical simulation results demonstrate the effectiveness of this method.

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